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song-lyrics

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LyricsGenius

johnwmillr / LyricsGenius

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Docs: What happens when using CLI and *not* passing --save?

4
AndydeCleyre
AndydeCleyre commented Apr 9, 2021

Describe the bug
Neither the help output nor the stdout/stderr indicate what is done with the lyrics, when --save is not passed.

Expected behavior
I thought maybe the same json produced with --save would be sent (alone) to stdout, or maybe just the plaintext lyrics content.

But more confidently, the --help output should include what is to be expected when --save is not pass

Read more
question good first issue

ivedants / Music-Playlist-Generation-using-Twitter-account-post-history-and-Sentiment-Analysis

Music playlist generation capability based on a Twitter account's social media posting history by sentiment analysis to compare the distribution of tweet and song lyric sentiment polarities to generate a list of recommended songs. Integrated using Bidirectional LSTMs for Tweet Sentiment Analysis and NLTK VADER for Song Lyric Sentiment Analysis.

natural-language-processing sentiment-analysis playlist-generator nltk twitter-account twitter-data bidirectional-lstm vader song-lyrics predict-tweets-sentiment music-lyrics sentiment-reasoning sentiment-label
  • Updated Jun 11, 2021
  • Jupyter Notebook

Ashwanikumarkashyap / RNN-based-new-lyrics-generation-from-scratch

In the project, the aim is to generate new song lyrics based on the artist’s previously released song’s context and style. We have chosen a Kaggle dataset of over 57,000 songs, having over 650 artists. The dataset contains artist name, song name, a link of the song for reference & lyrics of that song. We tend to create an RNN character-level language model on the mentioned dataset. Using model evaluation techniques, the model is checked for its accuracy and is parameter optimized. The trained model will predict the next character based on the context of the previous sequence and will generate new lyrics based on an artist’s style.

artists machine-learning recurrent-neural-networks neural-networks supervised-learning rnn neurons model-evaluation kaggle-dataset song-lyrics cross-entropy-loss lyrics-generation
  • Updated May 17, 2020
  • Python

mars-aria / f.u.b.u._playlist_shuffle

For a computational writing project, I created a program called "F.U.B.U. Playlist Shuffle (*For Us By Us) Playlist Shuffle ✊🏿✊🏾✊🏽". My program does a lyrical analysis of the songs "Almeda" and "Don't Touch My Hair" by the artist Solange (a.k.a. Beyonce's sister). Through this lens of cultural and computing exploration, I was able to discover some meaningful things about the importance of rhetorical and poetical word order in black creativity/self-expression.

music playlist computational-linguistics digital-humanities computational-rhetoric beyonce song-lyrics intersectionality lyrical-analysis solange computational-writing black-culture black-pride black-feminism
  • Updated Nov 28, 2021

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